Lead Engineer (Multi-Robot & Swarm Systems)

KERRY CONSULTING PTE. LTD.; Singapore; On-site; SGD 120,000 - 180,000; Full time

Job summary

Kerry Consulting PTE. LTD. is seeking a Lead Engineer to drive distributed multi-robot collaboration in Singapore. You will shape swarm coordination, decentralized planning, and real-time autonomy stacks across ROS2 platforms.

The role requires advanced degrees in robotics/CS/EE and hands-on experience with multi-robot systems, DDS/gRPC, and simulation tools. You will lead cross-disciplinary teams, mentor engineers, and contribute to long-term MRS strategy.

Qualifications

• Master's or PhD in Robotics, CS, EE, Mechatronics, or related field with multi-robot experience.
• Strong background in distributed autonomous systems and swarm coordination.
• Proficient in Python and/or C++, ROS2, and distributed communication frameworks.
• Experience with Gazebo, Isaac Sim, Unity Robotics, or Webots is advantageous.
• Ability to work independently in research-to-production settings.

Responsibilities

• Lead design and development of distributed multi-robot collaboration systems: task allocation, swarm coordination, decentralized planning, data fusion, inter-robot communication.
• Build and optimize real-time robotic autonomy stacks; contribute to ROS2-based architectures; integrate hardware, sensors, and simulations.
• Develop telemetry, visualization, debugging, and robot-to-cloud communication infrastructure; validate across simulation and physical robots.
• Collaborate with robotics, AI, controls, and systems teams to align solutions with customer and operational needs.
• Provide guidance on swarm robotics technologies and shape long-term R&D in MRS domain.

Skills

Multi-robot systems

Swarm robotics

Distributed systems

ROS2

Python

C++

DDS

gRPC

Gazebo

Isaac Sim

Education

Master's or PhD in Robotics/CS/EE

Tools

ROS2

DDS

gRPC

Gazebo

Isaac Sim

Webots

Job description

Overview

A leading advanced technology and robotics organization is hiring a Lead Engineer to join its Singapore-based engineering team focused on Multi-Robot Systems (MRS) and swarm intelligence solutions. This role sits at the intersection of robotics, distributed systems, and AI, supporting the development of autonomous robotic platforms capable of collaborative decision-making and coordinated operations in dynamic real-world environments.

Responsibilities

• You will lead the design and development of distributed multi-robot collaboration systems, including task allocation, swarm coordination, decentralized planning, distributed data fusion, and inter-robot communication frameworks.
• The role involves building and optimizing real-time robotic autonomy stacks, contributing to ROS2-based architectures, and integrating robotics hardware, sensors, and simulation environments.
• You will also develop infrastructure for telemetry, visualization, debugging, and robot-to-cloud communication while validating solutions across both simulation and physical robotic platforms.
• In addition, you will collaborate closely with robotics, AI, controls, and systems engineering teams to formulate scalable technical solutions aligned with customer and operational requirements.
• As a senior technical contributor, you will provide guidance on emerging technologies within swarm robotics and distributed autonomous systems, while helping to shape strategic technical capabilities and long-term R&D initiatives in the MRS domain.

Requirements

• You should possess a Master's or PhD in Robotics, Computer Science, Electrical Engineering, Mechatronics, or a related discipline, with strong experience developing multi-robot or swarm robotics systems.
• Deep understanding of distributed autonomous systems, multi-agent coordination, swarm intelligence, and decentralized interaction protocols is essential, including familiarity with concepts such as Contract Net Protocol, Petri Nets, Boids algorithms, or Particle Swarm Optimization.
• Candidates should also demonstrate strong foundations in robotics fundamentals including SLAM, localization, motion planning, distributed data fusion, and control systems.
• Strong programming capabilities in Python and/or C++ are expected, together with experience working with ROS2, microservices, real-time systems, or distributed communication frameworks such as DDS or gRPC.
• Exposure to simulation tooling including Gazebo, Isaac Sim, Unity Robotics, or Webots will be advantageous.
• You should bring a strong systems-thinking mindset, comfort operating within research-to-production environments, and the ability to work independently while contributing within highly collaborative engineering and applied research teams.

We regret that only shortlisted candidates will be notified.

License No: 16S8060 / Registration No: R26161178